Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks

  • Stephen Grossberg
Part of the Boston Studies in the Philosophy of Science book series (BSPS, volume 70)


This article is the first of a series to globally analyse competitive dynamical systems. The article suggests that competition solves a sensitivity problem that confronts all cellular systems: the noise-saturation dilemma. Low energy input patterns can be registered poorly by cells due to their internal noise. High energy input patterns can be registered poorly by cells because their sensitivity approaches zero when all their sites are turned on. How do cells balance between the two equally deadly, but complementary, extremes of noise and saturation? How do cells achieve a Golden Mean?


Short Term Memory Sigmoid Function External Input Excitatory Input Inhibitory Input 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© D. Reidel Publishing Company, Dordrecht, Holland 1982

Authors and Affiliations

  • Stephen Grossberg
    • 1
  1. 1.Department of MathematicsBoston UniversityUSA

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